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Somatosensation

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.

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Related Experiment Video

Updated: Jun 6, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

Making sense of artificial hands.

¹School of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK. phc@ecs.soton.ac.uk

Journal of Medical Engineering & Technology

|December 2, 2010

Summary

Advanced sensors for artificial hands are crucial for improved prosthetic function. Integrating force, position, slip, and temperature sensing enhances control and reduces user cognitive load.

Area of Science:

Robotics and Biomedical Engineering
Sensor Technology

Background:

The development of multi-degree-of-freedom prosthetic hands necessitates advanced sensing capabilities.
Existing prosthetic hands require sophisticated sensors for complex finger coordination and posture control.

Purpose of the Study:

To review current sensors for artificial hands, detailing their range, specifications, and characteristics.
To highlight the importance of various sensor types for prosthetic hand control.

Main Methods:

Literature review of existing sensor technologies for artificial hands.
Analysis of sensor specifications including range, force, position, slip, and temperature sensing.

Main Results:

Identified key sensor types (force, position, slip, temperature) essential for prosthetic hand functionality.

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Last Updated: Jun 6, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

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Discussed the integration of multiple sensor data for enhanced automatic control.

Explored future trends including integrated power supplies and wireless data transmission.

Conclusions:

Multi-modal sensor integration is vital for advanced prosthetic hand control, reducing user cognitive burden.
Future prosthetic hands will likely incorporate energy harvesting and wireless communication for greater autonomy.